Why Do More Men Than Women Seem to Be Using AI?

Artificial Intelligence (AI) has the potential to transform every part of our lives, from the way we work to the way we learn. It promises to make processes more efficient, unlock creativity, and offer personalised solutions to complex problems. But as with many emerging technologies, there’s an uncomfortable truth that we need to address: AI use seems to be dominated by men, and this disparity is far from accidental.

So, why do more men than women seem to be using AI, and what can we do about it?

Firstly, it's crucial to acknowledge that this isn’t an issue confined to AI. The gender gap in technology is a long-standing issue, and AI is simply another manifestation of this broader inequality. The roots of this divide are deep—stretching back to societal norms that have, for decades, associated tech and computing with men. From childhood, boys are often encouraged to tinker with gadgets and explore technology, while girls are more likely to be nudged towards roles that focus on care and creativity, away from the 'hard' sciences. This early socialisation has a long-term impact, shaping how comfortable or confident women feel about engaging with technology later in life.

Another factor is the persistent lack of representation in the AI field itself. When women look at AI—whether as a career choice or simply as a tool they might use—they often see an environment dominated by men. Representation matters, and when women don’t see others like them involved in developing, using, or talking about AI, it can reinforce the idea that this isn’t a space for them. The cycle becomes self-fulfilling: fewer women enter the field, fewer voices speak out, and the male-dominated image of AI continues.

The bias embedded in AI tools themselves can also be a barrier. AI systems learn from data, and that data is often full of the biases of the society that created it. From gendered language models to algorithms that show a preference for male-dominated professions, these biases can make women feel less represented and less inclined to use these tools. Imagine trying to interact with a system that subtly but consistently reflects the biases that have held you back—it's hardly an inviting proposition.

So, what can be done? The solution is not simple, but it’s essential. It starts with education and exposure. We need to create environments where girls and women are encouraged to explore technology, experiment with AI, and see its relevance in their own lives. This means showcasing diverse role models—women who are already using AI in creative, impactful ways—and providing training and resources that are accessible and welcoming to everyone.

If AI is going to be the transformative technology that many of us believe it can be, it must be inclusive. We need everyone—men, women, and non-binary people—to feel that they have a stake in this technology, that they have a voice in shaping it, and that it’s a tool that can empower them equally. Closing the gender gap in AI isn’t just about fairness; it’s about ensuring that AI develops in a way that benefits all of us.